基于遗传算法的相控阵随机馈相方案的优化

针对相控阵天线随机馈相方案的优化问题,提出了一种基于遗传算法的随机馈相方案优化方法,文中以一个泰勒幅度加权的线阵为例对随机馈相的数学模型进行了分析,并在此基础上,对提出的遗传优化算法进行了计算机仿真实验。仿真分析表明,优化后的天线方向图峰值副瓣电平得到了明显降低,算法具有良好的收敛性能。采用该算法对随机馈相方案进行优化设计,可以有效提高设计的效率和质量,因此值得在实际应用中加以推广。

Optimizing of randomizing phase feeding schemes for phased array based on genetic algorithms

To resolve the optimization problem of phased array antenna,an optimization method for randomizing phase feeding schemes based on genetic algorithms is put forward.The paper takes an amplitude-Taylor-weighted linear array as the example,and performs this algorithm's computer simulation experiment on the basis of analyzing the mathematical model of the randomizing phase feeding.The simulation results show that through optimization,the peak value of the side lobe levels of the antenna pattern has been distinctly decreased and the algorithm offers a nicer convergent performance in the process of the simulation.Furthermore,in the optimization design of the randomizing phase feeding schemes,the algorithm can effectively improve both the design efficiency and the design quality,so deserves generalization in practical application.